Remove articles netflix-highly-reliable-stateful-systems
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Article: How Netflix Ensures Highly-Reliable Online Stateful Systems

InfoQ

Building reliable stateful services at scale isn’t a matter of building reliability into the servers, the clients, or the APIs in isolation. By combining smart and meaningful choices for each of these three components, we can build massively scalable, SLO-compliant stateful services at Netflix. By Joseph Lynch

Systems 106
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AI for everyone - How companies can benefit from the advance of machine learning

All Things Distributed

This article titled " Wie Unternehmen vom Vormarsch des maschinellen Lernens profitieren können " appeared in German last week in the "Digitaliserung" column of Wirtschaftwoche. Companies like Netflix, Nvidia, or Pinterest use our capabilities in ML and deep learning. Progress through machine learning.

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Optimizing data warehouse storage

The Netflix TechBlog

By Anupom Syam Background At Netflix, our current data warehouse contains hundreds of Petabytes of data stored in AWS S3 , and each day we ingest and create additional Petabytes. This article will list some of the use cases of AutoOptimize, discuss the design principles that help enhance efficiency, and present the high-level architecture.

Storage 203
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Simple streaming telemetry

The Netflix TechBlog

Introducing gnmi-gateway: a modular, distributed, and highly available service for modern network telemetry via OpenConfig and gNMI By: Colin McIntosh, Michael Costello Netflix runs its own content delivery network, Open Connect , which delivers all streaming traffic to our members.

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The Netflix Cosmos Platform

The Netflix TechBlog

A Cosmos service This article will explain why we built Cosmos, how it works and share some of the things we have learned along the way. A Cosmos service This article will explain why we built Cosmos, how it works and share some of the things we have learned along the way. Delivery?—?A

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MLOps and DevOps: Why Data Makes It Different

O'Reilly

In this article, we want to dig deeper into the fundamentals of machine learning as an engineering discipline and outline answers to key questions: Why does ML need special treatment in the first place? Today, a number of cloud-based, auto-scaling systems are easily available, such as AWS Batch. However, the concept is quite abstract.

DevOps 138
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Angular vs React: What to choose for web development in 2022?

Enprowess

One of the most significant differences extends in state management. Moreover, since Google developers make it, you have surety of its reliability and efficiency of code backed up by the vast community of tech experts. React Use Cases: Netflix. Angular comes with data-binding bundled in it. High performance.